Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/cpsc_2018/g4/A3212.hea (685 bytes) 
A3212 12 500 5000
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -27 -23 0 I
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -46 -72 0 II
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18 0 III
A3212.mat 16x1+24 1000.0(0)/mV 16 0 36 46 0 aVR
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -4 -41 0 aVL
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -33 -20 0 aVF
A3212.mat 16x1+24 1000.0(0)/mV 16 0 15 48 0 V1
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -61 -49 0 V2
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -80 -117 0 V3
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -94 -81 0 V4
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -70 -65 0 V5
A3212.mat 16x1+24 1000.0(0)/mV 16 0 -79 -74 0 V6
# Age: 79
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown